Sr. Analyst-Assurance Analytics and Automation Strategy

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Do you thrive in an innovative and collaborative environment? Our Corporate Audit Services (CAS) organization is looking to add a hardworking and motivated team member. If you have analytics, automation and/or artificial intelligence fundamental knowledge this may be a perfect fit. Consider joining the Lilly family today!CAS serves as an autonomous and impartial auditing and consulting division, driven by a philosophy of enhancing value to bolster the Lilly operations. Its mission is to support the achievement of its objectives through a systematic, focused approach to assess and enhance the efficacy of the organization's risk management, control, and governance processes.The Assurance Data Analytics and Automation role will primarily be responsible for the design, development, and implementation of data analytics, artificial intelligence, and automation capabilities for the CAS organization. The role will include a balance of new project development in addition to data preparation and support of current tools. New projects will include cleansing, transforming, and modeling data with the goal of discovering useful insights, supporting decision-making, and suggesting improvements to the audit process. You will work to meet internal audit objectives by creating partner value, improving audit efficiency, and providing enhanced assurance.To maintain perspective on data analytics opportunities, this team member may occasionally be selected to work with audit teams on domestic and global audits designed to test compliance with good internal control practices that are aligned with corporate policies and procedures.Primary Position Responsibilities

Solution DeliveryDevelop a range of data analytics and visualization tools to effectively analyze company-wide data, thereby identifying risks, trends, and insights within different audit areas.Develop artificial intelligence and automation solutions using a combination of enterprise and custom developed technologies.Leverage data from various sources including SAP, Workday, SuccessFactors, ServiceNow, SHARP, TeamMate, etc.Aim to standardize and automate processes to enhance the effectiveness and efficiency of CAS.Operational Excellence

Assist the CAS Data Analytics team in responding to data analytic requests, producing datasets to support audits, and maintaining current analytics capabilities.Support and enable organizational reporting to business partners, leaders, and other key collaborators.Effectively partner with Lilly personnel for the purpose of identifying control risks relative to current regulations, policies, and procedures.Develop and maintain comprehensive documentation of data analytics, artificial intelligence, and automation tools and capabilities.Process Ownership

Forge partnerships with data owners, assurance function partners, and other key business leaders to identify unmet data analytics and/or process improvement needs for CAS and the broader enterprise.Drive the upskilling of CAS and partner assurance functions in data analytics domains.Basic Qualifications/Requirements

Bachelor’s Degree in Business Analytics, Statistics, Data Science, or related field3 or more years of relevant professional experience in analytics, artificial intelligence, or automationQualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this roleAdditional Skills/Preferences

Experience with reporting/query, data management, and statistical tools (i.e., R, Python, SAS, SQL)Experience in data visualization tools: Tableau, Qlik, or PowerBI (preferred)Experience in project managementExhibited critical thinking abilities in areas of complex subject matter.Experience working with or have domain knowledge of Internal AuditAbility to effectively collaborate with a wide variety of cross-functional partnersStrong written and interpersonal communicationDiligent with a high degree of accuracy and the ability to thrive in a fast-paced environment where multi-tasking and prioritizing is criticalSelf-starter capable of working independently and collaboratively across a network with a proactive approachCapable of recognizing areas for process enhancement and implementing lasting, innovative solutionsDemonstrate strong motivation and rapid learning agility, coupled with a growth mindsetTravel

Up to 5-10% travel based on business needs.

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